952 resultados para TWO-DIMENSIONAL ECHOCARDIOGRAPHY


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Microtubule-associated protein 1B, MAP1B, is a major cytoskeletal protein during brain development and one of the largest brain MAPs associated with microtubules and microfilaments. Here, we identified several proteins that bind to MAP1B via immunoprecipitation with a MAP1B-specific antibody, by one and two-dimensional gel electrophoresis and subsequent mass spectrometry identification of precipitated proteins. In addition to tubulin and actin, a variety of proteins were identified. Among these proteins were glyceraldehyde-3-phosphate dehydrogenase (GAPDH), heat shock protein 8, dihydropyrimidinase related proteins 2 and 3, protein-L-isoaspartate O-methyltransferase, beta-spectrin, and clathrin protein MKIAA0034, linking either directly or indirectly to MAP1B. In particular, GAPDH, a key glycolytic enzyme, was bound in large quantity to the heavy chain of MAP1B in adult brain tissue. In vitro binding studies confirmed a direct binding of GAPDH to MAP1B. In PC12 cells, GAPDH was found in cytoplasm and nuclei and partially co-localized with MAP1B. It disappeared from the cytoplasm under oxidative stress or after a disruption of cytoskeletal elements after colcemid or cytochalasin exposure. GAPDH may be essential in the local energy provision of cytoskeletal structures and MAP1B may help to keep this key enzyme close to the cytoskeleton.

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Depth-averaged velocities and unit discharges within a 30 km reach of one of the world's largest rivers, the Rio Parana, Argentina, were simulated using three hydrodynamic models with different process representations: a reduced complexity (RC) model that neglects most of the physics governing fluid flow, a two-dimensional model based on the shallow water equations, and a three-dimensional model based on the Reynolds-averaged Navier-Stokes equations. Row characteristics simulated using all three models were compared with data obtained by acoustic Doppler current profiler surveys at four cross sections within the study reach. This analysis demonstrates that, surprisingly, the performance of the RC model is generally equal to, and in some instances better than, that of the physics based models in terms of the statistical agreement between simulated and measured flow properties. In addition, in contrast to previous applications of RC models, the present study demonstrates that the RC model can successfully predict measured flow velocities. The strong performance of the RC model reflects, in part, the simplicity of the depth-averaged mean flow patterns within the study reach and the dominant role of channel-scale topographic features in controlling the flow dynamics. Moreover, the very low water surface slopes that typify large sand-bed rivers enable flow depths to be estimated reliably in the RC model using a simple fixed-lid planar water surface approximation. This approach overcomes a major problem encountered in the application of RC models in environments characterised by shallow flows and steep bed gradients. The RC model is four orders of magnitude faster than the physics based models when performing steady-state hydrodynamic calculations. However, the iterative nature of the RC model calculations implies a reduction in computational efficiency relative to some other RC models. A further implication of this is that, if used to simulate channel morphodynamics, the present RC model may offer only a marginal advantage in terms of computational efficiency over approaches based on the shallow water equations. These observations illustrate the trade off between model realism and efficiency that is a key consideration in RC modelling. Moreover, this outcome highlights a need to rethink the use of RC morphodynamic models in fluvial geomorphology and to move away from existing grid-based approaches, such as the popular cellular automata (CA) models, that remain essentially reductionist in nature. In the case of the world's largest sand-bed rivers, this might be achieved by implementing the RC model outlined here as one element within a hierarchical modelling framework that would enable computationally efficient simulation of the morphodynamics of large rivers over millennial time scales. (C) 2012 Elsevier B.V. All rights reserved.

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Synaptosomal-associated protein of 25 kDa (SNAP-25) is thought to play a key role in vesicle exocytosis and in the control of transmitter release. However, the precise mechanisms of action as well as the regulation of SNAP-25 remain unclear. Here we show by immunoprecipitation that activation of protein kinase C (PKC) by phorbol esters results in an increase in SNAP-25 phosphorylation. In addition, immunochemical analysis of two-dimensional sodium dodecyl sulfate-polyacrylamide gel electrophoresis gels shows that SNAP-25 focuses as three or four distinct spots in the expected range of molecular weight and isoelectric point. Changing the phosphorylation level of the protein by incubating the slices in the presence of either a PKC agonist (phorbol 12,13-dibutyrate) or antagonist (chelerythrine) modified the distribution of SNAP-25 among these spots. Phorbol 12,13-dibutyrate increased the intensity of the spots with higher molecular weight and lower isoelectric point, whereas chelerythrine produced the opposite effect. This effect was specific for regulators of PKC, as agonists of other kinases did not produce similar changes. Induction of long-term potentiation, a property involved in learning mechanisms, and production of seizures with a GABA(A) receptor antagonist also increased the intensity of the spots with higher molecular weight and lower isoelectric point. This effect was prevented by the PKC inhibitor chelerythrine. We conclude that SNAP-25 can be phosphorylated in situ by PKC in an activity-dependent manner.

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Résumé large public La protéomique clinique est une discipline qui vise l'étude des protéines dans un but diagnostique ou thérapeutique. Nous avons utilisé cette approche pour étudier les lymphocytes T «tueurs » ou cytotoxiques qui font partie des globules blancs du système sanguin et agissent dans la lutte contre les infections et les tumeurs. Ces cellules sont impliquées dans l'immunothérapie cellulaire qui se fonde sur la capacité naturelle des ces lymphocytes à repérer les cellules tumorales et à les détruire. L'introduction du gène de la télomérase dans les lymphocytes T résulte en une prolongation de leur longévité, ce qui en ferait des candidats intéressants pour l'immunothérapie cellulaire. Il subsiste cependant des doutes quant aux conséquences de l'utilisation de ces lymphocytes «immortalisés ». Pour répondre à cette question, nous avons comparé le profile protéique de lymphocytes T cytotoxiques «jeunes » et vieux » avec celui des lymphocytes «immortalisés ». Nous avons trouvé que ces derniers présentent une double face et partagent à la fois les caractéristiques de la jeunesse et de la vieillesse. Dans une seconde étude de protéomique clinique, nous nous sommes penchés sur les lymphocytes B «immortalisés » cette fois-ci non pas avec la télomérase, mais avec le virus d'Epstein-Barr. Ces derniers sont utilisés comme modèle dans l'étude de la leucodystrophie, une maladie génétique rare qui affecte le cerveau. Notre but est d'identifier des marqueurs biologiques potentiels qui pourraient aider le diagnostic et le traitement de cette maladie neurodégénérative. Nous avons pour ce faire comparé les profiles protéiques des lymphocytes B «immortalisés » provenant d'individus sains et malades. Malheureusement, notre analyse n'a pas révélé de différences notoires entre ces deux classes de lymphocytes. Ceci nous permet toutefois de conclure que la maladie n'affecte pas la synthèse des protéines de manière prépondérante dans ces cellules sanguines. En résumé, le travail présenté dans cette thèse montre à la fois le potentiel et les limites de l'analyse des protéines lymphocytaires, dans différentes situations biologiques. Résumé La protéomique clinique ouvre la porte vers de multiples horizons relatifs au traitement de diverses maladies. Ce domaine particulier alliant la protéomique à la médecine, implique l'intervention de la biologie moléculaire et cellulaire. Dans notre étude, nous nous sommes d'abord intéressés aux lymphocytes T CD8+ cytotoxiques dans le contexte de l'immunothérapie adoptive. Le fondement de cette thérapie repose sur la capacité naturelle de ces lymphocytes à reconnaître les cellules tumorales et à les détruire chez les patients atteints de cancer. L'introduction du gène de la transcriptase réverse de la télomérase (hTERT) dans les lymphocytes T humains permet de rallonger leur durée de vie, sans toutefois induire d'altérations liées à la transformation. Cependant, des incertitudes subsistent quant à la ressemblance physiologique et biochimique entre ces cellules surexprirnant la télomérase et les cellules normales. Afin de répondre à cette question, nous avons comparé l'expression des protéines de lymphocytes humains T CD8+ «jeunes » et «vieux »avec celle de lymphocytes transduits avec hTERT. Nous avons trouvé que les lymphocytes T surexprimant la télomérase ont un profile protéique intermédiaire, avec certaines expressions protéiques similaires aux jeunes cellules T et d'autres se rapprochant des cellules vieilles. Dans la seconde partie de notre étude, nous nous sommes intéressés aux lymphocytes B transformés avec le virus d'Epstein-Barr provenant de patients atteints d'une maladie génétique rare du cerveau, la leucodystrophie. Dans cette maladie, des mutations dans le facteur de transcription eIF2B, impliqué dans la synthèse protéique, ont été trouvées. Afin d'analyser les conséquences de ces mutations et de trouver des biomarqueurs spécifiques à cette maladie, nous avons effectué une analyse protéomique des lymphoblastes provenant de malades et d'individus sains. Nous avons trouvé que les mutations dans le complexe ubiquitaire eIF2B n'affectent pas de manière significative l'expression des protéines des lymphoblastes mutés. En conclusion, notre travail illustre le potentiel et les limitations des technologies protéomiques utilisées pour disséquer l'implication des protéines dans différentes situations biologiques. Summary Clinical proteomics opens the door to multiple applications related to the treatment of diseases. This particular field is at the crossroad of proteomics and medicine and involves tools from cellular and molecular biology. We focused first our investigations on cytotoxic T cells in the context of adoptive immunotherapy, which is an interesting and evolving field. The basis of this therapy relies on the natural capacity of cytotoxic CD8+ T lymphocytes in recognizing tumor cells and destroying them in cancer patients. As their number is reduced, the idea would be to use transformed T lymphocytes with extended life span. Overexpression of telomerase into human T lymphocytes results in the extension of their replicative life span, but it still remains unclear whether these cells are physiologically indistinguishable from normal ones. To address this question, we compared the proteome of young and aged CD8+ T lymphocytes with that of T cells transduced with hTERT and found that the latter cells displayed an intermediate protein pattern, sharing similar protein expression with young, but also with aged T cells. We were then interested in studying Epstein-Barr virus transformed B lymphocytes in the context of a rare human brain genetic disorder called leukodystrophy. In this disease, mutations in the ubiquitous factor eIF2B involved in protein synthesis and its regulation have been reported. In order to analyze the functional consequences of the mutations and to find out specific biomarkers of eIF2B-related disorders, proteomic and peptidomic studies were carried out on lymphoblasts from eIF2Bmutated patients versus healthy patients. Following two-dimensional gel electrophoresis and mass fingerprints, mutations in the eIF2B complex did not appear to significantly affect the proteome of the mutated lymphoblasts extracts. To conclude, our work emphasizes the potentials and the limitations of the proteomic technologies used to analyze the role of lymphocyte proteins in different biological situations.

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Diagnosis of immunoallergenic pathologies due to microorganisms such as hypersensitivity pneumonitis includes detection of circulating specific antibodies. Detection of precipitins has classically been performed using immunoprecipitation techniques with crude antigenic extracts from microorganisms implicated as etiologic agents. However, these techniques lack standardization because of the different composition of fungal antigenic extracts from one batch to another. Therefore, there is high interest in developing standardized serological diagnostic methods using recombinant antigens. Immunoproteomics have proved to be useful for identifying the immunogenic proteins in several microorganisms linked to hypersensitivity pneumonitis. With this approach, the causative microorganisms are first isolated from the environment of patients. Then the proteins are separated by two-dimensional electrophoresis and revealed by Western blotting with sera of different patients suffering from the disease compared to sera of asymptomatic exposed controls. Immunoreactive proteins are identified by mass spectrometry. Identified immunoreactive proteins found to be specific markers for the disease could be subsequently produced as recombinant antigens using various expression systems to develop ELISA tests. Using recombinant antigens, standardized ELISA techniques can be developed, with sensitivity and specificity reaching 80% and 90%, respectively, and more if using a combination of several antigens. Immunoproteomics can be applied to any environmental microorganisms, with the aim of proposing panels of recombinant antigens able to improve the sensitivity and standardization of serologic diagnosis of hypersensitivity pneumonitis, but also other mold-induced allergic diseases such as allergic broncho pulmonary aspergillosis or asthma.

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The objective of this work was to evaluate the water flow computer model, WATABLE, using experimental field observations on water table management plots from a site located near Hastings, FL, USA. The experimental field had scale drainage systems with provisions for subirrigation with buried microirrigation and conventional seepage irrigation systems. Potato (Solanum tuberosum L.) growing seasons from years 1996 and 1997 were used to simulate the hydrology of the area. Water table levels, precipitation, irrigation and runoff volumes were continuously monitored. The model simulated the water movement from a buried microirrigation line source and the response of the water table to irrigation, precipitation, evapotranspiration, and deep percolation. The model was calibrated and verified by comparing simulated results with experimental field observations. The model performed very well in simulating seasonal runoff, irrigation volumes, and water table levels during crop growth. The two-dimensional model can be used to investigate different irrigation strategies involving water table management control. Applications of the model include optimization of the water table depth for each growth stage, and duration, frequency, and rate of irrigation.

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Recently a fingering morphology, resembling the hydrodynamic Saffman-Taylor instability, was identified in the quasi-two-dimensional electrodeposition of copper. We present here measurements of the dispersion relation of the growing front. The instability is accompanied by gravity-driven convection rolls at the electrodes, which are examined using particle image velocimetry. While at the anode the theory presented by Chazalviel et al. [J. Electroanal. Chem. 407, 61 (1996)] describes the convection roll, the flow field at the cathode is more complicated because of the growing deposit. In particular, the analysis of the orientation of the velocity vectors reveals some lag of the development of the convection roll compared to the finger envelope.